GIS Portfolio

Thanks for visiting my website. I’m a graduate student in GIS and Natural Resource Science and Management with a focused on remote sensing and climate-resilient landscapes. I’m interested in building reproducible geospatial workflows and datasets for ecosystem monitoring, green infrastructure, and environmental justice. This site showcases some of the work I’ve made while developing these skills.

Project 1
Minnesota's Wet Spring 2024

Investigating soil moisture and crop health with optical and radar-based remotely sensed data [ArcGIS StoryMap]

Project 3
Mapping Mississippi River Flooding in Davenport, Iowa

Detecting 2018 and 2019 high water levels using MNDWI from Sentinel-2 imagery and hydrological data [PDF]

Project 2
Patterns in Urban Greening: Modular Trend Raster Hotspot Analysis

This is a fully reproducible batch-processing tool for aggregating binary trend rasters from LandTrendr or similar sources at multiple spatial scales and running custom hotspot analysis with multiple parameters.

Project 1
Manoomin, Native Plant Communities, and Tribal Lands

Cartography sample

Project 2
Python-Based Image Change Detection

Automatically thresholds and classifies Sentinel-2 imagery using multispectral indices, then detects and visualizes change extent [Jupyter Notebook]

Project 1
Converting Fantasy Maps to GeoTIFFs

Use an illustrated map's scale bar to georeference the image, overlay it on a Web Mercator basemap of Earth, and save it as a GeoTIFF so you can calculate real distances for your D&D campaign, etc.